extract-entities

Agent Skills › zerogpu/zerogpu-router › extract-entities

extract-entities

GitHub

执行自定义标签命名实体识别，从文本中提取用户指定类型的实体。

agents/claude/skills/extract-entities/SKILL.md zerogpu/zerogpu-router

Trigger Scenarios

提取特定实体 NER任务

Install

npx skills add zerogpu/zerogpu-router --skill extract-entities -g -y

More Options

Non-standard path

npx skills add https://github.com/zerogpu/zerogpu-router/tree/main/agents/claude/skills/extract-entities -g -y

Use without installing

npx skills use zerogpu/zerogpu-router@extract-entities

指定 Agent (Claude Code)

npx skills add zerogpu/zerogpu-router --skill extract-entities -a claude-code -g -y

安装 repo 全部 skill

npx skills add zerogpu/zerogpu-router --all -g -y

预览 repo 内 skill

npx skills add zerogpu/zerogpu-router --list

SKILL.md

Frontmatter

{
    "name": "extract-entities",
    "description": "Custom-label named-entity recognition (gliner2-base-v1). Use when the user wants to extract entities with their own labels — people, organizations, locations, products, dates, or any caller-defined entity types — from a passage.",
    "allowed-tools": "Bash(zerogpu chat_completions *)",
    "argument-hint": "<text> (-l <label>... | --labels a,b,c) [-t <0..1>]"
}

Run custom-label NER. The request below holds the source text and the entity labels, given as flags (-l person -l company, --labels person,company, -t 0.4) or in plain words.

Run this with the Bash tool, filling in the labels and pasting the source text into the heredoc verbatim — no escaping, the quoted heredoc handles every shell metacharacter, newline, quote, and paren:

zerogpu chat_completions -m gliner2-base-v1 --metadata '{"usecase":"ner","labels":["person","company"],"threshold":0.3}' <<'ZGPU_END_OF_INPUT'
<the source text, verbatim>
ZGPU_END_OF_INPUT

"usecase":"ner" is required exactly as written; the API rejects the request without it.
labels needs at least one label. If the request names none, ask the user which entity types to extract.
threshold is the minimum confidence in [0, 1]. Use 0.3 unless the request gives one.
--metadata is single-quoted JSON, so write any ' inside a label as '\''.

Output is a JSON object whose entities maps each label to the spans found.

Savings note: only if the command output literally contains a line starting with 💰 ZeroGPU savings, append that exact line, unchanged, as the last line of your reply. If no such line is present, say nothing about savings and do not mention or suggest /zerogpu-router:cost-savings — this note is intentionally occasional, not shown every time.

Request: $ARGUMENTS